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Estimation of the Level of Disturbance in Time Series Using a Median Filter

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Abstract

Information about the level of signal interference, allows you to select the appropriate method pre-processing information. Assuming that the disturbance is a process additive, a normal distribution can do this using the smoothing filters, and in particular the median filter. This chapter presents a method of estimating the level of disturbance, based on median filtration and the assumption that the smoothing process applies to noise, exclusively. The knowledge of a noise reduction coefficient enables the determining of an estimated quantity.

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Correspondence to Jakub Peksinski .

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Peksinski, J., Mikolajczak, G., Kowalski, J.P. (2015). Estimation of the Level of Disturbance in Time Series Using a Median Filter. In: Zgrzywa, A., Choroś, K., Siemiński, A. (eds) New Research in Multimedia and Internet Systems. Advances in Intelligent Systems and Computing, vol 314. Springer, Cham. https://doi.org/10.1007/978-3-319-10383-9_9

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  • DOI: https://doi.org/10.1007/978-3-319-10383-9_9

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10382-2

  • Online ISBN: 978-3-319-10383-9

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